Provides access to the endoflife.date API to query support and end-of-life information for thousands of software products. It enables users to retrieve detailed release schedules, lifecycle data, and product categories through natural language.
Endor lets your AI agents run services like MariaDB, Postgres, Redis, Memcached, Alpine, or Valkey in isolated sandboxes. Get pre-configured applications that boot in less than 5 seconds, with direct AI agent integration for instant development and testing environments.
公开目录未提供摘要。
Enables AI-powered analysis and prediction of household energy consumption through machine learning models, providing historical consumption breakdowns, price queries from Spanish electricity markets, and personalized energy optimization recommendations.
An MCP server for Arma Reforger and Enfusion engine modding that enables users to create mods, search API classes, and generate scripts through natural language. It provides a comprehensive suite of tools for scaffolding addons, generating prefabs, and building projects using the Workbench CLI.
Enables Twitter engagement intelligence by monitoring accounts and topics to identify high-value interaction opportunities. It allows users to post strategic replies, manage a reply queue, and track performance analytics directly through Claude Code.
Provides AI assistants with structured access to an organization's engineering standards, practices, and processes through searchable knowledge base with CRUD operations and multi-dimensional organization.
A code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.
Swiss medication shortage data for Switzerland. 8 tools: search shortages, find alternatives, check ATC groups, company profiles, weekly summary. Data from drugshortage.ch, BWL, and Spitalpharmazie USB. Free tier included.
MCP is a server project designed for developers to create and manage their applications efficiently.\ \ how to use MCP? \ To use MCP, clone the repository from GitHub, configure the server settings, and run the server command to start your application.\ \ key features of MCP? \ Easy setup and configuration for server management\ Support for various development tools and frameworks\ Active community support and documentation\ \ use cases of MCP? \ 1. Hosting web applications\ 2. Managing backend services for mobile apps\ 3. Developing and testing APIs\ \ FAQ from MCP? \ Is MCP suitable for production use? \ \u003e Yes! MCP is designed to be robust and can be used in production environments.\ \ How can I contribute to MCP? \ \u003e You can contribute by submitting issues or pull requests on the GitHub repository.\ \ What programming languages does MCP support? \ \u003e MCP is flexible and can support multiple programming languages depending on the configuration.
Perstistant Memory Layer for Agents
The 'Blast Radius' detector for AI Agents. Prevent regressions using Git history and organizational memory.
Persistent memory for AI agents with Ebbinghaus forgetting curve, semantic graph retrieval, and engineering state tracking. Local-first, DuckDB, zero cloud dependency.
Headless geometric memory engine for AI agents — no Vector DB, no cloud, no API key. Store and retrieve by meaning using native Vector Symbolic Architecture (NVSA) math over O_DIRECT NVMe mapping. Runs entirely on your machine via MCP.
The memory operations platform for production AI agents — eval-weighted recall, multi-evaluator consensus, GDPR Art. 17/20 governance, multi-tenant RBAC, and audit logging built in.
Engram MCP provides persistent, cross-session memory for AI agents by automatically encoding errors, decisions, and discoveries during development sessions. It enables local, intelligent recall and automated context management to help AI learn from experience and avoid recurring mistakes.
Durable memory MCP server for AI agents. Temporal knowledge graph with hybrid semantic + keyword retrieval, LLM-powered fact extraction, conflict detection, and consolidation. Backed by SQLite or PostgreSQL. 11 MCP tools, 6 LLM provider backends. Part of JamJet.
Enhanced MCP server for Airbnb search and listing details
Enhanced development environment with MCP servers, UV package manager, and Open Interpreter
Enables comprehensive directory analysis and file management operations including project structure exploration, intelligent file search, full CRUD operations on files and directories, batch operations with rollback capabilities, and Git integration.
